Parallel fuzzy resolution inference on fuzzy neural logic network
Liya Ding, Z. Shen · 2002
A form of parallel fuzzy resolution inference on a fuzzy neural logic network (FPRIN) is introduced. It is a continuation of research on parallel resolution inference on a neural logic network (PRIN), extended for fuzzy logic by using the fuzzy resolution principle, fuzzy linear resolution, and the fuzzy perceptron in the neural logic network. In FPRIN, fuzzy resolution inference is processed at two levels: (1) a symbolic level represented by the FPRIN network itself; and (2) a fuzzy inference level expressed as the access of fuzzy truth values and confidence values. By using FPRIN, fuzzy resolution inference can be executed in parallel without loss of its logical properties.>